{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4 核密度图Densityplot\n",
    "核密度图显示数值变量的分布。它只需要一组数值作为输入。它非常类似于直方图。在seaborn中使用kdeplot函数绘制核密度图，该章节主要内容有：\n",
    "1. 基础核密度图绘制 Basic density plot\n",
    "2. 核密度图的区间控制 Control bandwidth of density plot\n",
    "3. 多个变量的核密度图绘制 Density plot of several variables\n",
    "4. 边际核密度图  Marginal Density plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#调用seaborn\n",
    "import seaborn as sns\n",
    "#调用seaborn自带数据集\n",
    "df = sns.load_dataset('iris')\n",
    "#显示数据集\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 基础核密度图绘制 Basic density plot\n",
    "+ 基础核密度图函数 default density function\n",
    "+ 带阴影的核密度图 Density plot with shade\n",
    "+ 水平核密度图 Horizontal density plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 基础核密度图函数 default density function\n",
    "# 纵坐标为核密度估计值，类似概率密度函数。\n",
    "# 如x=3.0，纵坐标表示的不是x=3.0处的概率，而是在x=3.0附近取值的可能性估计\n",
    "sns.kdeplot(df['sepal_width']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 带阴影的核密度图 Density plot with shade\n",
    "# density plot with shade 添加阴影线\n",
    "sns.kdeplot(df['sepal_width'], shade=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vIjOjLRXQlgq4qCM8IbtvNOzRP/z6OA+/Pk53OmBrR5oL21Iq3YjIaVO411BzMuDC9oAL21OM5UvsG8vz2kiB7+0f4+H9Y5zdnOCijjRntyQ16kZETonCfYloSMTY0ppiS2uKoVyRl4fz7B3J8+LwCNm4cWFbios60nRn9CsTkfkpKZaglmTAts6ASzpSHBgv8PJwnt2HJ/m3w5OsygRc3JHmgrYUGc1eKSInoHBfwmJmrG1IsLYhwWSxxKsj4eyV3+0b45/2j3FuS5KLO9JsbEoQU9lGRMoo3JeJdBDjvNYU57WmODJVnJmm+CeDORoTMS5qT3FRe5r2tEbbiIjCfVlqTwW0d4WzV+4fK/DKcJ7HDk7w6MEJ1jbEubgjXHREM1eKrFwK92UsMGN9Y4L1jQnGC+Fc9K8M53nwtVG+uw+2tKW4qD3F+saEJjMTWWEU7nUiG49xQVuK81uTDEwWeXkkz/ODU+w5MkVzItrWltKslSIrhMK9zpgZnZk4nZk4l3Wm6RsrsHckz+OHJnjs0AQdqYDz21Kc25qkK62gF6lXCvc6Fo8ZG5sSbGxKMFUs8dpogddG8jzyxjiPvDFOSzLGuS1JNrek6G2Ma8SNSB1RuK8QqSDG5mj64YlCif3RPPS7+8Px8+kg/CI4qznJxqYELZrMTGRZU7ivQJl4jHOiJQLzZdMTvzoSDq0EaE/F2NgUBv26xoQumBJZZhTuK1wiZqxrDAPc3RnOlTgwUeCN8SJPD0zyRP8kAJ3pYGa/dQ1xmtSzF1nSFO4yw8xoSQW0pAK2tEIxmov+8ESRQ5MFnhmY5Mko7FuSMXobEvQ0xFmTjbMqEyeIqWYvslQo3OWEAjO6M3G6M3EuJEXJncGpEocmCxyeKPLycI5nj05F+8KqTJw1DXHWZMPQb03GNBpHpEYU7lKxmBnt6YD2dNizd3fGC87AVJGByfD2ZP8kuzzs3adixqpswOpsgtXZOKszcdpSCnyRxTBvuJtZGtgJpKL973X3z8za54PA/wD2Ry99yd3/ZGGbKkuNmdGQMBoSMdY3JgDC3n2uxJHJIkenihyZKrHr8AQlD38mGTNWZQJWZeMz/yvoTAfEVdIRWVCV9NyngBvcfdTMEsAjZvaguz82a7973P03F76JspzEzMK5b8qWCyy5M5QrcWTqWOA/2T9JMQp8A9rTAasycbozAV3pON3ZgMa4evkip2vecHd3B0ajp4no5tVslNSXWNnygtNK7ozmSwzmSgxOFRmcKvHqSI4fHz32VysTTNf8A7qjdWjVyxepTEU1dzMLgN3AOcBd7v74HLv9kpldB7wA/N/uvm/hmin1JmZGczKgORnMlHQAckVnMBeG/fR931h+ppcfI+zll4d+dyZOQ9zUyxcpU1G4u3sRuNTMWoH7zGyru+8p2+Xvgb9y9ykz+w3ga8ANs9/HzG4HbgdYu279GTde6k9yprd+7LWZXv5UiaNR4O+d3cuPG93p4wO/Mx1oeKasWBZWXU7hB8w+A4y5++dOsD0Ajrh7y8ne55LLLvf7/+XRU/pskXJTRQ9LOjM9/bC3Xyrr5XfM1ctP6GpbWb7MbLe7b59vv0pGy3QBeXcfNLMM8HPAH87ap8fdD0RP3w08dxptFjklqcBYlY2zKnvsr3HJnZGolz8d+q+M5Hi2rJefjR8bv9+dCU/ktqcDApV1pI5UUpbpAb4W9chjwN+4+z+Y2WeBXe5+P3CHmb0bKABHgA9Wq8EiJxMzoyUZ0JIM2MCxWv5U8fiyzlCuyGuj+ZlefmDhFAuroqttp4Nfq1nJcnXKZZmForKM1FrJnZFciaO5EkejYZqDuRJTxWP/JlqTsZkx+dNDNZsSGqIptbNgZRmRehUrm0tnY1PYy3d3JooeBv1UGPqvjxV4PpotEyAdhBdidWfiM8HfobKOLDEKd5EyZkY2bmTjMdY2HHs9X5o+eTvdyy/RN3bsQqyZsk4mTndU2unKBKRV1pEaUbiLVCARM7oycbpmDdEcyZc4GvXwB6eKvDCU40dHpmb2aUnGZmr4XdHJ2xZNqCaLQOEucprKT96Wl3Umo7LO0egE7hvjBV4YOlbWScaMrszxQzS70nGSgQJfFo7CXWQBmRmZuJGJx1hTVtYplML5dY6Wjcvfc2SSfOnYPuUnb6fn2FEvX06Xwl1kEcRjRkc6oCN9bH4dd2escHwtf/bJ21TUy++KTtp2pgM605puQeancBepETOjMWE0JmL0lr2eLzlDU0WOTk+qlntzLz8VfVl0Rl8Ynekw/NXTl2kKd5ElJhEzOjNxOstO3k4P0RzOlRjOhRdhDedLvDCUY/LIsXH58Rh0pI6F/fQXQFsqIKbQX1EU7iLLQPkQzdXZ47dNFacD/9j97CkXYgbtqTDsO6Lpl6dvWZV46pLCXWSZSwUxujKx44ZpQljemenlR8G/f6zAC4O54xZkSMSgLRnQlg7C+1RAaypGW0pX4y5nCneROpWY4yQuQNGd8XyJkXyJ0bxH9yUOjBV4cTBHWWmfwKB1upefjB3X429OxlTqWcIU7iIrTGBGUzKgKRm8aVspWvR8dCb8w1v/RIFXhkuUTbtDDGiJevitUY+/JRmjNbrXpGu1pXAXkRmxshE8q2dtmz6pWx784RW6RfaN5o8bzQPhHDzHwj6gNRkLL/pKhfcJLaRSVQp3EalI+Und7ln1fXdnquSM5Z2xfInRQmnm/vWxAi8O5WamV57WEA+v8J3u6c98AaQCmhMxraJ1hhTuInLGzIx0YKQD3lTjh2O9/mPBHz4eK5R4bTTHWN6PO8lrQGMiNhP2LckYrdEXQWsyRqNO9M5L4S4iVVfe6++aY3vJnYmo1j820+sPvwAGhnOMF47v9gdG1Os/PvRbo/q/5ulRuIvIEhAzoyFhJ1zfdnqEz2j0BTB9O1G9PxuVfNpTYY2//AtgpQzvVLiLyJJ3bITPm7e5O7mSM5o/FvxjhfB+70iO8aPHl3zCXn9Z4EehPz3EM14ntX6Fu4gsa2ZGKjBSJ6j3l6IJ2kbzUblnutefK7Jv7PhevxEGf3h9QHzmit6OdEAmvryGdircRaSuxcxoShhNc5R8wl4/M8M6R3JFhvIlBiaLvDKSP26ETyZudKTCGTpXR0ssdqWDJTuqR+EuIitW2OuHVDB9JW9iZtv0BV3T0zeM5MMpHPYcmeTJqLcfM+hKB6yOllZcHc3HvxRKO/OGu5mlgZ1AKtr/Xnf/zKx9UsDdwOXAAPAr7r53wVsrIrJIyi/oKl9P1z2s7x+ZKnJ0qsiRqSLPHc3x9EC4vGIiBhsaE2xqTrKpOUlr6s2losVQSc99CrjB3UfNLAE8YmYPuvtjZft8GDjq7ueY2XuBPwR+pQrtFRGpKTOjKWk0JWNsKFtecawQLq94cKLAgbECLw3ngTHaUwHntCR5S3fmhKOBqmHecHd3B0ajp4noNutaM94D/G70+F7gS2Zm0c+KiNS18oVX1jUm8M5wQrYD4wUOjBf5t0MTPNU/yTU9WS7vShMswlDMimruZhYAu4FzgLvc/fFZu6wF9gG4e8HMhoAOoH8B2yoisiyYGc3JgOZkwHmtMJwr8kT/FN/bP8b+0Tz/blNz1dtQ0f8R3L3o7pcCvcAVZrZ11i5zfQ29qdduZreb2S4z2zXQr9wXkZWhORlw7eoM2bjNnZZVcEoFIHcfBB4GfmHWpj5gHYCZxYEW4MgcP7/D3be7+/aOzs7TarCIyHJSKDk/OTrF3786ynjB2TTXlVhVUMlomS4g7+6DZpYBfo7whGm5+4HbgEeBW4Dvqd4uIivVaL7EwYkCB6Oae67krG+Mc9XqLBsaE/O/wQKopObeA3wtqrvHgL9x938ws88Cu9z9fuBPgb8ws5cIe+zvrVqLRUSWkPKhkQcnChycKDIaXfaajRubW5Js60zTu0ihPq2S0TI/ArbN8fqnyx5PAr+8sE0TEVlaCiVnKBdOWDaYK3J0qsTgVJHpSSuTMWN9Y5yN3Rk2NCXoTAc1m6RMV6iKiMySK3p0RWpx5srU4eh+ut6cjBndmYBLOtN0Z8IrVLszwZJZV1bhLiIrUtHD+eKnwzucWyYM8cmyxWKnJxPrSse5sD1gVRTkLcmlPXWwwl1E6pK7M1V0Rgul46cDjlaDmr0ASCYw2tMB52aTtKfDueA70uHiH0t1crCTUbiLyLLk7kwWw8m9xqPVm8aix9NBPiu/aYwbramATdlkNJ97OI97e2r5Tek7H4W7iCxJxVIU2nOE93jBGSuU3rTodiIWXjDUmY5zTsvxKzC1pAISy7AHfroU7iKy6NydqZIzng9DeqxQYjw/HeZheJfXvac1RMvnrW0IaEkGNCdj4S0RLqKdCmxJ18EXk8JdRBZcMZoLfTx/LKzDAD/2eHZ2x42Z+VjWNcbCx4kwvFuSAU2J2LKsfdeKwl1ETsn0mqVjUXhPh3V573tijl739KLVPQ1haB/reYf3GfW6F5TCXUSOU3RnoqzOfVx4R4E++0RlYMyUR9Y2xGcCu7zXvRRWJ1pJFO4iK4i7ky8RBXWJsajmPX2ScnyOIYIQDhNsScZYnYnT3BL2tlvK6t3ZuHrdS43CXaSOlKJe90ydO186bsTJeKFENO3JjMCgKRGjJRmjJ5ucKZW0JML7pmRsRY0yqRcKd5FlZHrR5rHoROVoNDxw+vlEwd+0kEI6MJqTMboz8ainfXy9u0G97rqkcBdZQqZ73qNRWE+P7R4rq3/PDu/pXnd3JhmVSo4fIpgMFNwrkcJdZBGVl02mg3s6yMej5ycK766mMLxbUmG9u1XDA+UkFO4iC6xQOjaPyUjZ/XT5ZHZ4N0bhvWE6vKOTlS2pcMigwltOh8Jd5DTkowAfmRXio/m5J6RqTQWsb4wfH95R+URDBKUaFO4iJ5ArnjjAZ1+kk40bbamAs5uTtKWCmVtrMka6ziakkuVB4S4rWtHDAB/OHVuQYTrEp2YFeGMiRlsqRk9DkrZkWYCnYqQCBbgsLQp3WRFyRWc4V2Q4X2Iod2xRhtFZNfCmRIz2VIx1DSnaUjFaZ3rgGnUiy4vCXerKdIgP5cIQH8wVGc4dX0YJDNpSAWsa4nRECzJ0pOO0pxTgUj8U7rIsldwZzpU4misyOFViKAr08pOZcYPOdMDZLUm6ogDvSIcnM5fKOpci1aJwlyUvV3QGoxCfXnV+MHdsoYbAoCMdcFZTks50QGcmoCu99Ne4FKmmecPdzNYBdwOrgRKww92/MGuf64FvAa9EL33T3T+7sE2VeufRpfWDuSJHZ4I8rItPywTGqmyczS0pujPhYsXt6aWz4rzIUlFJz70A/Bd3f8LMmoDdZvZdd//xrP2+7+43L3wTpR65OyP5EgNTYZAPToU986myddPaUjF6G+J0R6vNd2cDGuPqjYtUYt5wd/cDwIHo8YiZPQesBWaHu8gJTRRKDEwWGZgqcmSyxJGpArmoQx4YdGcCtrQlwxDPxOnKBBpeKHIGTqnmbmYbgW3A43NsfquZPQ28DnzM3Z+d4+dvB24HWLtu/am2VZaJfMk5EgX5wGSRI1PFmROdBnRlAi5oS9PTEKcnG6dTZRWRBVdxuJtZI/AN4KPuPjxr8xPABncfNbN3AX8HbJ79Hu6+A9gBcMlll795RQBZdkruDE6VjgvyodyxGnlrMsbGpiQ92TDIV2XjmhtcZBFUFO5mliAM9q+7+zdnby8Pe3d/wMz+2Mw63b1/4ZoqS0Gu6PRPFumfLNA/GQb69OjDbNzoyca5uCM9E+YZXXovUhOVjJYx4E+B59z98yfYZzVw0N3dzK4AYsDAgrZUFp27M5p3DkdB3j95rFduhHXySzrTrG1IsCaroYciS0klPfergfcDz5jZU9FrnwTWA7j7V4BbgI+YWQGYAN7r7iq7LDNFD2vl/WW3yejKzlTMWNsY9srXNsRZk03oak6RJayS0TKPEHbUTrbPl4AvLVSjZHEUSmGJ5fBEgUNRiWX6Kv3WZIxzWpL0NiRY2xCe9FSvXGT50BWqK0iuGJZYDk0UOTxZ5MhkESf85l6VCbisM01vY4LehgQNCdXKRZYzhXsdmyiUODxR5NBkgcMT4dWeEI4r78nGuXJVhnWNYc9cY8pF6ovCvY5Mh/klSG1CAAAKnklEQVTBibB3Phxdtp+IwdqGBBd1pFnXGJ781Oo/IvVN4b6MTRVLHCoL8+mRLMmY0dsY5/KuMMxXZeMEqpeLrCgK92VkqugcioL80ERhpsySiEFvQ4JtnWnWNyZYnY3rik+RFU7hvoTlis6hyQKHxsO6+dGpMMzjFpZZLu5Is6EpDHP1zEWknMJ9CcmXnMMTBQ5OFDk0UeToVDiaJTBY2xBna3vYM+9RzVxE5qFwr6GiOwOTRQ6Oh4HeP3kszNdk45zflmFDY5I1DQpzETk1CvdF5O4M5kq8EYX54YnCzLwsPdmAt6zKsLExwdrGhCbXEpEzonCvIndntOAcHC/wRnQidCq6BLQ9FczUzDc0Jkhrgi0RWUAK9wU2UShxcGK61FJgLOqaNyZibG5JsjEK86ZkUOOWikg9U7ifoULJOTxZ5MB4gTfGCzNjzdOBsb4xEYZ5U4L2lOZmEZHFo3A/Re7OcL4UhXk43rzo4UnQ6bHmG5oSrMporLmI1I7CvQK5ovPGRGGmdz69ZFx7KmBbZ5pNzUnW6SSoiCwhCvc5TI9q2T8WBvpANEQxFTM2Nic4qynJWc0JWlQ3F5ElSuEeKblzaKLI/rEC+8fyMydCe7Jxrlqd4aymcLy5Si0ishys6HDPFZ0D42GYHxgvkis5gcHGpgTntqQ4uyVJo+Y1F5FlaMWF+2SxxL7RAn2jBQ5NFCgBmcA4rzUZDVVMavk4EVn2VkS454pO31ieV0fCsecOtKVibO/OsLklyVqVW0SkztRtuJfceWO8yCsjOfrGCpQcWpIxrlyV4fy2FF1aE1RE6ljdhftYvsRPh3O8MpJnvOCkA2NbZ5oL21L0ZOMKdBFZEeYNdzNbB9wNrAZKwA53/8KsfQz4AvAuYBz4oLs/sfDNnZtHI11eGMqxf6wAwFnNCS5uT3NOS1IzKorIilNJz70A/Bd3f8LMmoDdZvZdd/9x2T43Apuj21uAL0f3VVVyZ99ogR8fnWIwVyIdGFeuyrCtM02zxqCLyAo2b7i7+wHgQPR4xMyeA9YC5eH+HuBud3fgMTNrNbOe6GcXXMmdV0fyPHs0x0i+REc64Mb1jVzQltJVoiIinGLN3cw2AtuAx2dtWgvsK3veF7224OF+YKzAkwOTDOVKdGcCfra3ifNakqqli4iUqTjczawR+AbwUXcfnr15jh/xOd7jduB2gLXr1p9CM2E0X2LX4UkOjBdoScb4xY1NnNeqUBcRmUtF4W5mCcJg/7q7f3OOXfqAdWXPe4HXZ+/k7juAHQCXXHb5m8J/LiV3XhzK8aOBKczg7WuyXN6V0UlSEZGTqGS0jAF/Cjzn7p8/wW73A79pZn9NeCJ1aCHq7ROFEo8enODgRJFNzQl+fl2jJusSEalAJT33q4H3A8+Y2VPRa58E1gO4+1eABwiHQb5EOBTyQ2fasP6JAo+8MUGu5Ny4vpGL21MqwYiIVKiS0TKPMHdNvXwfB/7jQjVq32ieRw9O0JSIcevmFrozdXetlYhIVS251Nw7EgZ7TzbOL29qJqtZGUVETtmSCvd9o3keOzjB+sY4v3x2i8asi4icpiXTLT46VZzpsd+yScEuInImlkS450vO9w+Mk43H+KVNzZpPXUTkDC2JcH+yf5LxgvOLZzXRoBq7iMgZq3mS9k8W+Olwniu6M6xtSNS6OSIidaHm4f70wBTZuHH16mytmyIiUjdqGu79kwUOTRR566qs6uwiIguopuH+4lCeZMy4pCNdy2aIiNSdmoW7A32jec5vS6rXLiKywGoW7oWSU3DY3JKqVRNEROpWDcM9vO9tWFIXyYqI1IWahXu+5HSlA9Lxmg/YERGpOzVL1qI7PVn12kVEqqFm4V5yaE1p4Q0RkWqoaU2kJamSjIhINdQ0XRs1j4yISFXUNF2TmtZXRKQqahrumrNdRKQ6ahvuujJVRKQq1HMXEalD84a7mf2ZmR0ysz0n2H69mQ2Z2VPR7dOVfHA6MNXcRUSqpJKriL4KfAm4+yT7fN/dbz6VD25NBcQV7iIiVTFvz93ddwJHFqEtIiKyQBaq5v5WM3vazB40swsX6D1FROQ0LcTkLk8AG9x91MzeBfwdsHmuHc3sduB2gPXr1y/AR4uIyFzOuOfu7sPuPho9fgBImFnnCfbd4e7b3X17V1fXmX60iIicwBmHu5mtNjOLHl8RvefAmb6viIicvnnLMmb2V8D1QKeZ9QGfARIA7v4V4BbgI2ZWACaA97q7V63FIiIyr3nD3d1vnWf7lwiHSoqIyBKhaRlFROqQ1aqCYmYjwPM1+fDa6wT6a92IGlnJxw4r+/h17Atjg7vPOyKlluvcPe/u22v4+TVjZrt07CvTSj5+HfviHrvKMiIidUjhLiJSh2oZ7jtq+Nm1pmNfuVby8evYF1HNTqiKiEj1qCwjIlKHqh7uZvYLZva8mb1kZr89x/aUmd0TbX/czDZWu02LpYJj/89m9mMz+5GZ/ZOZbahFO6thvmMv2+8WM3Mzq5tRFJUcu5n9H9Hv/lkz+8vFbmO1VPB3fr2Z/bOZPRn9vX9XLdpZDRUsbGRm9sXoz+ZHZnZZVRvk7lW7AQHwU2ATkASeBi6Ytc//CXwlevxe4J5qtmmxbhUe+9uBbPT4Iyvp2KP9moCdwGPA9lq3exF/75uBJ4G26Hl3rdu9iMe+A/hI9PgCYG+t272Ax38dcBmw5wTb3wU8CBhwJfB4NdtT7Z77FcBL7v6yu+eAvwbeM2uf9wBfix7fC/zs9ERky9y8x+7u/+zu49HTx4DeRW5jtVTyewf4r8B/ByYXs3FVVsmx/wfgLnc/CuDuhxa5jdVSybE70Bw9bgFeX8T2VZXPv7DRe4C7PfQY0GpmPdVqT7XDfS2wr+x5X/TanPu4ewEYAjqq3K7FUMmxl/sw4bd6PZj32M1sG7DO3f9hMRu2CCr5vZ8LnGtmPzCzx8zsFxatddVVybH/LvC+aBLCB4D/a3GatiScaiackWpfoTpXD3z28JxK9lmOKj4uM3sfsB14W1VbtHhOeuxmFgP+CPjgYjVoEVXye48TlmauJ/zf2vfNbKu7D1a5bdVWybHfCnzV3f8fM3sr8BfRsZeq37yaW9Ssq3bPvQ9YV/a8lzf/N2xmHzOLE/5XrR7WbK3k2DGznwM+Bbzb3acWqW3VNt+xNwFbgYfNbC9h/fH+OjmpWunf+W+5e97dXyGcY2nO1cuWmUqO/cPA3wC4+6NAmnDelZWgokxYKNUO938DNpvZWWaWJDxhev+sfe4Hbose3wJ8z6OzD8vcvMcelSb+X8Jgr5e6K8xz7O4+5O6d7r7R3TcSnm94t7vvqk1zF1Qlf+f/jvBkOtGqZecCLy9qK6ujkmN/DfhZADM7nzDcDy9qK2vnfuAD0aiZK4Ehdz9QtU9bhDPI7wJeIDyL/qnotc8S/mOG8Jf7t8BLwA+BTbU+672Ix/4QcBB4KrrdX+s2L9axz9r3YepktEyFv3cDPg/8GHiGcIGbmrd7kY79AuAHhCNpngLeWes2L+Cx/xVwAMgT9tI/DPwG8Btlv/e7oj+bZ6r9d15XqIqI1CFdoSoiUocU7iIidUjhLiJShxTuIiJ1SOEuIlKHFO4iInVI4S4iUocU7iIidej/Bxi3PjbEDS71AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 水平核密度图 Horizontal density plot\n",
    "# 基本所有seaborn绘图函数只要设置vercical就能获得水平方向的图像\n",
    "sns.kdeplot(df['sepal_width'], shade=True, vertical=True, color=\"skyblue\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 核密度图的区间控制 Control bandwidth of density plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bw参数控制核密度图的区间\n",
    "# 其中bw表示根据多少区间范围来计算核密度\n",
    "# Large bandwidth \n",
    "sns.kdeplot(df['sepal_width'], shade=True, bw=.5, color=\"olive\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    " # Narrower bandwidth\n",
    "sns.kdeplot(df['sepal_width'], shade=True, bw=.05, color=\"olive\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 多个变量的核密度图绘制 Density plot of several variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 有时需要比较多个变量的核密度，可以通过matplotlib创建两个子图，也可以直接画在一张图上\n",
    "p1=sns.kdeplot(df['sepal_width'], shade=True, color=\"r\")\n",
    "p1=sns.kdeplot(df['sepal_length'], shade=True, color=\"b\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 边际核密度图  Marginal Density plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 边际图能够更好变现2个数值变量之间的关系\n",
    "# No space 无间隔，space表示边缘图和中央图像的间隔，kind表示图像类型\n",
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='kde', color=\"grey\", space=0);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Huge space 大间隔\n",
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='kde', space=3);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+M50sKNHoaSaKc9JZWZ7LfTtOq5tPRF5FATULHb0DnOm4wMJiBdRMbV1Wyom2Xnacave6FBHxGQXULOxvCDRI1GoENWObaovJSE3iP7ed9roUEfEZBdQs7G84D8DCYnXwzVRGajKbaot5YFcD5y8Mel2OiPiIAmoW9p3ppDQnndwMLXE0G69bNZ8Lg8Pcu12jKBH5AwXULOxvOM8CjZ5mrbYkm2XzcvjBcycYHlGzhIgEKKBmqKd/iGMtPSxQg0RE3LyqnJNtvTyqlSVEJEgBNUMHGjtxqEEiUjbVFlGen8E3Hz+qlnMRARRQMzbawacGichISjLeuLaC/Q2dPLq/yetyRMQHFFAztOf0efIyUyjKTvO6lISxdWkpVYWZfPHhAwwMjXhdjoh4TAE1QztOtbO0LFd7QEVQcpLx7k0LONnWyw+fO+F1OSLiMQXUDJzrGeB4aw/LynK8LiXhrKsuYG1VPv/0uyO09wx4XY6IeEgBNQM7TgaW5Vk2L9fjShLTuzctoLt/iK/8+pDXpYiIhxRQM7DtZDspScaiUo2goqG6KIubV83n3184xbNHW70uR0Q8ooCagR0n26ktySYtRf/5ouXtV1RTnp/BX967h57+Ia/LEREP6DdsmAaGRth9uoOlOv8UVekpyXxw62LOtF/giw8f8LocEfGAAipMLzd20j80ovNPMbB8fi63rCnnx8+f4veHW7wuR0RiTAEVpu3BBomlCqiYeMeGaqoLM/n0z3dzTl19InOKAipMO062U5qbrgt0YyQtJYmPXL+E9t4B/vq+PVoGSWQOUUCFwTnHtpPndP4pxhYUZ/OOK6p5ZH8T/6ktOUTmDAVUGE629dLU2c+K+Zrei7XXrylnVUUeX3hwPyfberwuR0RiQAEVhmfqAtfkrK7I97iSuSfJjA9fuxgz+MTPdjE0rLX6RBKdAioMzxxtpTg7jfn5GV6XMicV56Tzp1tq2Xmqg289Ued1OSISZQqoEI2MOJ6ta2NVRZ4WiPXQ5sUlbFlczD/97giHznZ5XY6IRJECKkQvN3bS0TvI6kpN73ntT65aSFZaMv/z3j3aIl4kgSmgQvT4wWYA1iigPJeXkcqfbF7IrvoOfvDsCa/LEZEoUUCF6LGDzSwuzaYgS9c/+cFVi4tZX13AVx49xOn2Xq/LEZEoUECFoK27n131HayrLvS6FAkyMz5wdS0jzvG/f/my1+WISBQooELwxKEWHLC+psDrUmSMkpx03nxZFb95uYnfvtzkdTkiEmEKqBA8vO8sxdlp1JZke12KjPP6NfOpLszk8w/u58LAsNfliEgEKaCm0dU3yJOHW9hYW0SS2st9JyUpiQ9sqeVMxwW+/tgRr8sRkQhSQE3jsYPNDAyPsKm22OtSZBIryvPYurSEu588xtFmXRslkigUUNN4cHcDRdlpLJ2nBWL97N2bFpCRmsxn79+nFc9FEoQCagotXf08cbCFq5eUaHrP5/IyU3nHFdU8f+wc9+8643U5IhIBCqgp3L/zDMPOsXVZqdelSAhuWFHGkrIc/s9DBzh/YdDrckRklhRQk3DO8R8vnWJJWQ6VBZlelyMhSDLjA1tqae8d4KuPHvK6HBGZJQXUJJ4+2kpdSw+vuWSe16VIGGpLsnntyvn8+PmT7K7v8LocEZkFBdQk/u3p4xRkprJ5sbr34s3bNlRRkJXK/7p/rxaTFYljCqgJHGjs5LFDLdx4yTxSk/WfKN5kpaXwnisXsO9MJ//69HGvyxGRGdJv3wnc9dvDZKclc/Pq+V6XIjO0eVExGxYU8qVHDrLvzHmvyxGRGVBAjbOrvoNH9zdx8+pyctJTvC5HZsjM+O9bF5GXmcrHfrqT3oEhr0sSkTApoMYYHnF89v69FGal8vo1Gj3Fu7yMVD587WKOt/bwuQf26wJekTijgBrj+8+eYN+ZTt69aQFZaRo9JYLVlfn80fpK7tl+mm89Ued1OSISBv0WDtrfcJ7/9/ABLqsp4Cp17iWUt15eRXNXP1959BDz8zJ4y+VVXpckIiFQQAHNnX389x9sIyc9hQ9uXYxpWaOEYmZ8cOsiOi4M8D/v3UNGajJvuLTc67JEZBpzfoqvubOP937vRc71DvDp1y4nLzPV65IkClKSk/jkTctYXJrDR/99B9958pjOSYn4nMXpmzQiRe+q7+CjP9lBa08/n3rNclZX5kfiacXH+oeG+dbjdbx44hw3XlLG3//RGublZUT6ZTQEF4mAORlQrd39fOvxOn743AkKslL5RPAva5kbnHM8vO8sP3upnqQkeNfGBdy5dRHz8yMWVAookQiYEwHlnONsZx9PHWnl8YPN/O5AM0MjI1y3vIw/3lij653mqKbOPu7bcZqnj7aSZMaVi4p5zcp5bKwtYnFpDmkpM54BV0CJREBCBdTA0Aj/8JvDdPUN0tU3RGffIG3dAxxv7aG7P3ChZlF2GhsWFPLaVfO1SrkAgfOQvz3QxPZTHTR0XAAgJcmoKcqiOCeNouw0CrPSyExLJjU5iZQk41OvXU5y0qQ5pIASiYC4DCgzewQoicFLlQCtMXgdL+h7i55W59zNHr6+SEKIy4CKFTPb5pzb4HUd0aDvTUT8bs63mYuIiD8poERExJcUUFO72+sCokjfm4j4ms5BiYiIL2kEJSIivqSAEhERX1JAiYiILymgRETElxRQIiLiSwooERHxJQWUiIj4kgJKRER8SQElIiK+pIASERFfUkCJiIgvKaBERMSXFFAiIuJLCigREfElBZSIiPiSAkpERHxJASUiIr6kgBIREV9SQImIiC8poERExJcUUCIi4ksKKBER8SUFlIiI+JICSkREfEkBJSIivhT1gDKzE2a218x2mdm2Ce43M/snMztqZnvM7LJo1yQiIv6XEqPXud451zrJfbcAS4Mfm4B/Dv4rIiJzmB+m+G4HfugCngcKzKzc66JERMRbsQgoB/zazLab2Z0T3F8J1I/5+nTwtlcwszvNbJuZbVu1apULPq8+9OHHD0/oPaKPOPoISSwCaotz7jICU3kfMbOt4+63CR7zqm/AOXe3c26Dc25DZmZmNOoUiWt6j0iiiXpAOecagv82A78ANo475DRQPebrKqAh2nWJiIi/RTWgzCzbzHJHPwdeC+wbd9iDwJ8Eu/muBM475xqjWZeIiPhftLv45gG/MLPR1/p359wjZvYhAOfct4FfAa8HjgK9wPujXJOIiMSBqAaUc+4YsHaC27895nMHfCSadYiISPzxQ5u5iIjIqyigRBJQw/kLnGzr8boMkVmJ1UoSMdPaO+R1CTIHlGT5+63T1j3AmfYLLCjO9roUkRnTCEokQfUPj3hdgsisKKBEEtTgkAJK4psCSiRBDWgEJXFOASWSoDp6B70uQWRWFFAiCaqte8DrEkRmRQElkoCSzWjt7ve6DJFZUUCJJKDkZONsZ5/XZYjMigJKJAGlJSdxpKnL6zJEZkUBJZKA0lOSONnWy4WBYa9LEZkxBZRIAspITcYBO0+1e12KyIwpoEQSUGZaMkkGzx9r87oUkRlTQIkkoGQzFpXm8NihZq9LEZmxmASUmSWb2U4ze2iC++4wsxYz2xX8+G+xqEkk0V1ZW8y+M50ca+n2uhSRGYnVCOrjwIEp7v+Zc25d8OO7MapJJKFtXlyMAQ/savC6FJEZiXpAmVkV8AZAwSMSQ0XZaayqyOOBXWcIbFwtEl9iMYK6C/hLYKqVK99iZnvM7B4zq57oADO708y2mdm2lpaWqBQqEs/Gvkfa2loBuGpxCSfaetl75rzH1YmEL6oBZWa3As3Oue1THPZLYKFz7lLgt8APJjrIOXe3c26Dc25DaWlpFKoViW9j3yPFxSUAbKwtIiXZuH+npvkk/kR7BLUFuM3MTgD/AdxgZj8ee4Bzrs05N7po2HeAy6Nck8ickZ2ewvrqAn65u4HhEU3zSXyJakA55z7jnKtyzi0E3gk85px7z9hjzKx8zJe3MXUzhYiEacviElq6+3VNlMQdT66DMrO/NbPbgl9+zMz2m9lu4GPAHV7UJJKo1tcUkpmazC92nvG6FJGwxCygnHNPOOduDX7+Oefcg8HPP+OcW+WcW+ucu945dzBWNYnMBWkpSWysLeJXexvpHRjyuhyRkGklCZE54NplpfQODPPIvrNelyISMgWUyBywfH4u8/LSuWf7aa9LEQmZAkpkDkgy45qlpTxb18bp9l6vyxEJiQJKZI7YujRwbdR/btMoSuKDAkpkjijNzWBddQE/fv4kfYPayFD8TwElMoe8YU05bT0D3K+Wc4kDCqg4trepn71N/dMfKBK0qiKP2pJsvv7YUY2ixPcUUHFkNJDGB9NEt4lMxMx418YaznRc4PvPnvC6HJEpKaDiRKjho5CS6ayuzOeymgK+/tgR6s+po0/8SwHlczMZGSmkZDrv27wQ5+BjP93J4PBUO+GIeEcB5WOzCRqFlEylLC+D/3Z1LTvrO/jqrw95XY7IhBRQPhSp80kKKZnK5sUl3LiijH/5/TF+9PxJr8sReRUFlM9EOlQUUjKV92+p5bKaAv7m/n38QE0T4jMKKB9RmEisJScZH79xGRsWFPL5B/fzfx56mSGdkxKfiElAmVmyme00s4cmuC/dzH5mZkfN7AUzWxiLmvwmmuGk4JOppKUk8YmblvHalfP47tPHee/3XqSh44LXZYnEbAT1cSbfKfdPgXbn3BLgH4Evxagm34hFgCikZCrJScb7t9TyoWsXsbO+nZvvepKfv1TPiLaJFw9FPaDMrAp4A/DdSQ65HfhB8PN7gBvNzKJdl18oOMRPrl1Wxt//0RrK8zP5y3v38EffeoZd9R1elyVzVEoMXuMu4C+B3EnurwTqAZxzQ2Z2HigGWmNQm6dCDad9TX2T3rd6XkZYr7dmXnrIx8vcVJ6fyeffuJKnj7by0xdP8aZvPsPbN1Tx6dctpyw39J83kdmKakCZ2a1As3Nuu5ldN9lhE9z2qnkFM7sTuBOgpqYmYjV6JZRwmiqYxh8TTlBJYhr7Hqmoqp7tc3HN0lIuX1DIL3ae4d4dZ3hgVwPv2lTDh65dzLw8/bxJ9Jlz0ZtjNrMvAu8FhoAMIA+4zzn3njHHPAp8wTn3nJmlAGeBUjdFYRs2bHDbtm2b8L7W3qEIfgfRMV04hRJMEwklpDSCioySrCn/tvN8ivrSdZe5f7n3NxF7vsbzF3hgVwNPHWkhJTmJd2yo5kPXLaayIDNiryFzSkjvkaieg3LOfcY5V+WcWwi8E3hsbDgFPQi8L/j5W4PHJOyZ2anCaV9T34zDafTxs3l9kcmU52fyoWsX8w9vX8fVS0r46YunuPYrj/OZ+/ZoPT+JGk+ugzKzvzWz24Jffg8oNrOjwF8Af+VFTbEwXThFQqSeR2Qi8/Iy+O/XLOIf37GO65eX8Z/bT3PdV57g0/+5m+OtPV6XJwkmFk0SADjnngCeCH7+uTG39wFvi1UdXpksnBQoEo9KctL5wJZa3rSukl/uaeDBXQ3ct+M0t62t4KM3LGFJ2WQ9USKhi1lAzWUzCaf9zVNPxa0qm/xc0r6mPjVNSEwUZafxvs0LuX1tBf+1t5GH953lgV0NvH5NOX9+4xJWzM/zukSJYwqoKAs3nKYLprHHTRVSIrFUkJXGuzct4I2XVvCrfY38en8Tv9rbyG3rKvjUa5ZTU5zldYkShxRQURROOIUaTOMfo5ASP8nLTOWdV9Rw65oKfrmngYf3neW/9jTy7k01fPSGpZTm6udVQqfFYmMsUuEUiceKREtORgp/vLGGf3z7Oq5dVsqPnj/J1q88zjceO0L/0LDX5UmcUEBFyUSjp0iHk4jfFWWn8d+uWcRX37qWNRX5fPXXh7n5rqd46kiL16VJHFBARUEkwmlfc98rPkTiWXlBJp98zTL+6uYVXBgY5r3fe5GP/GQHZ8/rZ1smF9Y5KDO7Clg49nHOuR9GuKa4FuqFsBOF01RBtK+5j9Vls+/M00oS4qW11QV86S2X8tCeBh7Y1cDjh5r55E3LuGPLQlKT9feyvFLIPxFm9iPgq8DVwBXBjw1RqisuhdoUEW44hXOMiN+lpSTx5suq+PJbL2XF/Fz+768OcPNdT/L4oWavSxOfCWcEtQERhircAAAgAElEQVRYmcjLEEXDdOEUbuhMNJJSN5/Eo3l5GfyP161g+8l2fvLCSd7/by+xdWkJn711Jcvm6UJfCe8c1D5gfrQKiXehnHeabTiJJKLLFxTy5bdcynuvXMD2k+3cctdT/PUv9nK6XWv8zXXTjqDM7JcEtr/IBV42sxeBi79pnXO3TfbYuSKS4dTY2Hjx8/Ly8gmPmc35KO0JJX6UkpzE69eUc/XSEu7dfpqfv1TPz1+q582XVXLn1kVaOmmOCmWK76tRryLBhRJOY4NpotsmCyuRRJKXkcr7t9Ry29oKfrmnkft3NvDzbae5anExd1y1kBtWlJGiZoo5Y9qAcs79HsDMvuSc+59j7zOzLwG/j1JtcSHUlvKL940Lp4mCaSKNjY2vCKnpRlFTrcenUZT4XXFOOndctZA3r6/ksUPN/O5AE3f+aDulOem8+bJK3np5FUt1nirhhfOnyGsmuO2WSBWSKKaa2ptpOIUi3At+9zb1a28o8b28zFTetK6Su96xnk+9ZhkLirP47tPHec0/Pskb/ukpvvXEUU616VxVogrlHNSHgT8DFpnZnjF35QLPRKuweDDdL/iZhFPfqX0AZNSsftV94Y6iQjHR96DRlfhNcpKxYWERGxYW0XlhkGfqWnmuro0vP3KILz9yiNWVedx0yTyuX17Gmsp8kpI839RYIiCUc1D/DjwMfJFXbibY5Zw7N9UDzSwDeBJID77WPc65z4875g7gK8CZ4E3fcM59N6TqfSbUvZ3Gh9NoKE102/igGh9S09Uzk203pgpehZd4LS8zlVtWl3PL6nJauvp54XgbLx4/x9d+e4S7fnuE4uw0rltexg0ryrh6aQn5malelywzFEpAJQOdwEfG32FmRdOEVD9wg3Ou28xSgafN7GHn3PPjjvuZc+6jIVftAzMdPYUSTuPvn2g0NdlrRvt6KI24xE9Kc9O59dIKbr20gs6+QXbXd7CrvoNH95/l3h2nAyOvBYVcvyIQWEvLcjDT6CpehBJQ2wm0mRtQA7QHPy8ATgG1kz0weFFvd/DL1OBHQl7oO5OdcacLp7HHhRpS48Vi80KFlvhBXkYq1ywt5ZqlpQyPOI42d7Ozvp3d9R38v4cP8v8ePkhlQSbXryjlhhVlbF5UQmZastdlyxRC6eKrBTCzbwMPOud+Ffz6FuCm6R5vZskEQm4J8E3n3AsTHPYWM9sKHAY+6Zyrn+B57gTuBKipqZnuZT0Vyugp1HCayNhpvlDOQ3mxw+7Y0FJYxcbY90hFVbXH1XgrOclYPj+X5fNzeecVNbR197PrdAe7TnVwz/bT/Pj5U6SlJLF5UTE3BEdX1UXaVNFvLNSVi8xsu3Pu8nG3bXPOhbQen5kVAL8A/tw5t2/M7cVAt3Ou38w+BLzdOXfDVM+1YcMGt23btgnva+0dCqWcWZmutTxaATV2FDX2PNTYgIrFkkezCbtECauSrCn/tvN8DunSdZe5f7n3N16X4UuDwyMcaOxkV3A6sDG4ovri0mxuWFHG9cvL2LCwiLQUXW8VRSG9R8JZi6/VzD4L/JjANN17gLZQH+yc6zCzJ4CbCSybNHr72Of4DvClMGryhcmm96IxevKD8d9vOIE1Gu6JElQSf1KTk7i0qoBLqwr4k83QeP4Cu+o72Hmqg3975gTfeeo42enJXLOkhBtWzOO65aWU5cV2BkICwgmoPwY+T2AUBIHuvD+e6gFmVgoMBsMpk8CU4JfGHVPunBv97X0bcCCMmnxnLm5AOJPAUlCJX5TnZ1Ken8ktq8vpGxxm35nz7Krv4KUT7TyyvwmAleV53HhJGdevKGNtVQHJamOPiZADKtit9/Ewn78c+EHwPFQS8HPn3ENm9rfANufcg8DHzOw2YAg4B9wR5mvElFcXt860SSJcoQbsVFOJYwNrurDSqhbiJxmpyRevt3LOcepcLzuDU4HffPwoX3/sKIVZqVy3vIzrlpdy7bJSCrLSvC47YYVyoe5dzrlPjFk09hWmWizWObcHWD/B7Z8b8/lngM+EXLHPhNK9F8kVIyDy6/LNZNQ30WMmCq1QwkohJX5kZiwozmZBcTZvWldJd98Qe84EpgJ/d6CJX+w8Q5LB+prCi+euLinPVRt7BIUygvpR8N85v2jsbFaOiJbZrCQR6enIsc83VVhNFFQKKfG7nIwUrlpcwlWLSxgZcdS1dAfOXdV38JVHD/GVRw8xLy/9YlhtWVJCdnpYm5bLOKG0mW8PfpoMPO+c08JXMTZZ995sTBdO4QbsRJsojhofVpO1veu8lMSLpCRj6bxcls7L5W0bqmnvHbjYFXj/zgZ++mI9qcnGxtoiti4t5eqlJVwyP09LMIUpnHi/A/i2mbUBTwU/nnbOtUejML8Jd9XySJnq3NP4UAi1xXyycJrNqG/sYycLq7H1aTQliaQwK43rlwdGTkPDIxxq6mLnqQ72nOngiw8fhIehODuNa5aWcPXSUq5ZWsI8dQZOK5wmiT8BMLMK4K3AN4GKcJ4jkUVjem98OE127VM4ZhJO051DGz+qmyysJlqKaarRlEJK4lFKchKrKvJZVZEPLOBczwB7z5xn75nzPH6ohft3NQCwtCyHrctK2bKkmMsXFGnNwAmEHC5m9h7gGmAN0Ap8g8Aoak6K5uhpolHTdFN7oYyewgmncBo7xh87fsV1+ENQTTaaUkhJoirKTuPaZYGOvxHnqD/Xy57TgcD64XMn+N7TxzFg2fxcNi4sYsPCQq5YWERFQabXpXsunJUkWoE64NvA4865E1Gsa0qxXkkinJUjYOrFYUdNdrFuKOE00ehpuoCKVDhNVPdU05BTjfrG1zxZl58fQ0orSUgkDAyNcLS5i4NnuzjU1MWRpm4uDA4DUFGQwRULiy5+LC3LSaRzWJFdScI5V2Jmq4CtwP81s6XAIefce2dYYNwKZ8fcUE32S94P4RTKiutjjf1exq8bCK8cTYUykhJJVGkpSaysyGdlRT4AwyOBa68One3i4NlOnjzcwgPBKcG8jBTWVOVzaVUBa6vyWVNVQEV+RkK3tYczxZdHYDXzBcBCIB8YiU5Z/hGtC3NDufB2th17U3XqhRJOM12SafxeVqPPO9ECt6GElKb6ZK5ITjJqS7KpLcnm5tXzcc7R3NXPobNdHG7q4lhrD88fO8bwSGDmqyg7jUur8rm0MhBYl1blJ1TzRTgNDk+P+fiGc+50dEqKL1OFQKQv0J2sMWLsL/lQrm0KZXfficKpv37vtM+dXr3mVc8xNqgUUiKhMzPm5WUwLy+DrctKgcC0YH17L3Ut3Rxr6eFYSw9PHm4hmFmU5aZzaVU+ayoDgbWmKp+SnPh874QzxXfpVPeb2dedc38++5L8LRrTexMJd/Q0k2CC0EZNoQTT+GPHB1UklmrSdVIigWnBxaU5LC7NuXhb/9AwJ9t6ORYMrYNnu/jdgeaLS/+U52cERlpVBaypzOfSqvy4WKIpki3iWyL4XL7g1bp7E4XTbFaMmCw4pwunyYKp7/TLr7oto2rlqx47NqTGvuZMR1GjNJoSeaX0lGSWzctl2bzci7ddGBjmRFtPYKTV2sPu0+d5NLj4LUBNURbrqgOjrLXVBayuyPfdBo66himBhRpMEFo4TRRM4+8bG1RjQ2rsKGpsSI2lkBKJnMy0ZC4pz+OS8ryLt3X3D3G8NRhaLd08c7SVB3cHmjCSzVgyL4f11QXB7UjyWT4/l9Rk7/bFUkAlmHAvuJ1tME107GQhNZFQdgSejEJKJDw56SmsqcxnTWX+xdvaewcuns+qa+nmoT2N/MdLgU3N01OSWF2Zz6baIjYtKubyBYXkxHB9wUi+UuL2OsbQTDr3ZrIKRCjnmsIJpvGPGz/lN/qa4Z6Lmq71XCElMjuFWWlsWFDEhgVFABc7B+tauqlr6eFIUxf/8uQxvvVEHclmrKrM46rFJdx0SRnrawqjujdWJAPqaxF8rjlpqnAaP9KYriEjnOuZZjtqiqRwlkMapZASiZyxnYNXLS4BoG9wmMNNXRxo7OLA2U6+89Qxvv37Ooqy07jpkjJev6acrUtLI34hcSj7QU24D9So0f2gnHPfn+CxGQR23k0PvtY9zrnPjzsmHfghcDmBLeTf4eUqFZFUXl4ecqt5KCOnmYQShNeZN1UwTfSYqabvRCQxZKQmB89LFQDQ0z/E7tMdbDvZzkN7Gvn5ttMsKsnmT6+p5S2XVZGRGplmi1BGULPZB6ofuME5121mqcDTZvawc+75Mcf8KdDunFtiZu8ksCX8O2bxmp5ZXZbxqhAZDZ6pgioSW2jM9lqmcINpJmbTaq5RlIh/ZKf/YW+soeERXjh+jl/tbeR//WIfP37uJD/4042U5c7+guFQ9oP6/Uyf3AUW+usOfpka/Bg/Grsd+ELw83uAb5iZuVAXCfSZiUIKIr8L7qiZNj7A9NN4Mw2mseefIjnC0lJIIv6TkpzEliUlXLW4mO2n2vnm40d5/7+9xH997JpZP3fI/YNmttTM7jGzl83s2OhHCI9LNrNdQDPwG+fcC+MOqQTqAZxzQ8B5oHiC57nTzLaZ2baWlpZQy466idbBm801S+GY6DqmULvyphsxhbtqxKiJmiNixavr1vxi7Hukra3V63JkjjEzLqspZGV5Pk2dkVm0IJwG938D/hkYAq4ncN7oR1M+AnDODTvn1gFVwEYzGz/PM9FZtVeNnpxzdzvnNjjnNpSWloZRdmSF+hf8bENqdVnGxY9QTBRME3XlTRZMo8dHajoPXhlg0dgVWF5p7HukuLjE63Jkjjnd3stXHj3EjlPt3La2IiLPGU4XX6Zz7nfB6beTwBfM7Cng89M9EMA512FmTwA3A2N/m54GqoHTZpZCYBHac2HU5bnJ1sGbKFzGT//NNMimOqcVarv4bMJoutFTqOEUq9GmiERe3+Aw20+287uDTRxo7CItJYm/u30V77lyQUSeP5yA6jOzJOCImX0UOAOUTfUAMysFBoPhlAncRKAJYqwHgfcBzxHYqfcxv5x/WjMvfcJpo9XzMiZck29VWfq0a+LN5BfyZOe1Ro0dPYUSTrMdJUUznELdtl5EvHH2fB8769vZeaqDA42dDI04qgsz+atbVvC2y6sojuDCtOEE1CeALOBjwN8BNxAIlqmUAz8ws2QC04k/d849ZGZ/C2xzzj0IfA/4kZkdJTByemeY34MnpgqpUaEs4BpNsQin8eecNHISSRwjznGm/UJgQ8WznRxq6qK1ewCARaXZvH/LQm5YMY9NtUVR2UwxnNXMXwIIjqI+5pzrCuExe4D1E9z+uTGf9wFvC7WOWJtsFAWTh9SoqUYDkQqvyUZP8RhOGj2JeKvzwuDFFSSOtXRztKWbrr7ALuWlOelsqi1mY20R1y8vo6Y4K+r1hLNh4QYCjRK5wa/PAx9wzm2PUm2+MV1IjZoqrMaLRXiNFc1wilUwqcVcJDKcc7T3DnLqXA8n23o53trD8dYemrsCv3sMWFyWw82r5nNFbREbFxaxoDgr5rv3hjPF96/AnznnngIws6sJBNaU+0QliqlCatRMw2q8ic5lTXceKpqiFU4aMYlE39DICA0dfZxsC4TRyXO9nDrXQ+eFoYvHVBZkcsXCoj9svVGZH9NFYScTTgVdo+EE4Jx72symneZLJKGE1KjJ/toPNbhCabiYTKTW0YtEM0QkgkkjJ5HQdPcNcTI4Kjp1rpeTbT2cbr/AUHC73bTkJJbNC4yMVga34lhRnkd+ZqrHlU8snIB60cz+BfgpgeuU3gE8YWaXATjndkShPt8ZXU5npheFjv9lO5uRVjRFI5xmMmIKJ5y01JHMFSPO0dTZx6ngiOhkWw+nzvVebGAAKM5JY2V5Hq9b/YcwWlSSTYqH+zuFK5yAWhf8d/x1T1cRCKwbIlJRnBj7y3A2KxiM/gKeadt6pIWyOsRE4TTdlJ7OM4nMTN/gMPXn/hBEJ8/1Ut/WS9/QCBDYaLC2NJstS0oublB4SXluRNbC81o4XXzXR7OQeBaJsJquIzAcGVUrXzXNl169ZtJGianWy4vmqElhJPIHzjnO9QxcPE90sq2H+nO9NJ7vu7i0Tm5GCpfMz2PLxpKLo6Kl83Iitnq434TTxTcP+Hugwjl3i5mtBDY7574Xteri0PhpJj+tDxfOwq0zaSEPJZyiFUqa3pN4MjLiaDh/geOtPZxoDYyKTrX10tX/h8aF6sJM1lTl844rarikPJdLyvOoKsyMeSedl8KZ4vs+ga69/xX8+jDwMwIX2sokwjlnFclR1ExNtNhruOEUy2AS8buhkRHOtF+42Mp9IthN1x+coktPSWL5/FxuXVt+cYpuxfxccjP82bgQS+EEVIlz7udm9hkIrDxuZsNRqivhhNMBGAkTTfNNdexEJgsm8Fc4afQkfjE4PEL9ud5XhNGpc70MDgcm6bLSkllVkce7NtWwpjKf1ZX5cde4EEvhBFSPmRUTXGnczK4ksDWGhGi6kJrt6Gn8eaaxwTM2rKbbEuNV1z2FeH2TwknmktFzRoebujna3MWR5m6Ot/ZcbOnOzUhhdUU+N14yj1UVeayuzKe2ODsqSwIlqnAC6i8ILOy62MyeAUoJLO4qIYrGCCqjZvWEO+e+6rgwQ2n0uccKJ5xiMaWncJJYGhga4XhrD0eCYXS0uZtzPYG27vSUJNZU5fOBq2tZW1XAmsp8qovm1vmiaAgnoBYDtxDYGuMtwKYwHy9hmkmL+WjQzHTDQZh4a/ZwmiFCCafpwmWyMFcoSax09w9xsLGT/Y2dHGnq4kRbL8PB0VFVYSbXLC1hfXUBly0oZMX8PNJSNE0XaeEEzN845/7TzAoJbJvx/xHYwHBTVCpLMNONnmYzvTfRKGomW61PF0ww+3AKNWAURBJrvQNDHDzbxcsNnbzc2MmJ1h4cgdHRuuoCXrtqPuurC1hfU0hprn4+YyGcgBptiHgD8G3n3ANm9oXIlyQzEepU30SPm8hEu97OJpwUOOI3/UPDHGzs4uXGQCAda+lmxEFqcmDr8tvXVbB5UTHragpIT0nM64z8LpyAOhNc6ugm4Etmlk54W8bPWdEYPZWXl79qV92Qz0dNEkqjzzvebNfTUziJX7R09V/cbO/lhk4GhkdISTLWVhfwkeuXsHlRMZctKEzYC1/jTTgB9XYC27V/NbhDbjnwP6Z6gJlVAz8E5gMjwN3Oua+NO+Y64AHgePCm+5xzfxtGXb4Wzam9iUwVPpOZKJQgvO0xJhs9KZzES8MjjsNNXew81c6u+g7q2y8AUFOUxbs21XDd8lKuWFhEtg9W7pZXC2epo17gvjFfNwKNkz8CgCHgU865HWaWC2w3s98458ZfoPOUc+7WUGuZC0JpkJhoFBWqyUIJwt+3SRfhip8MDI2wu76DF463set0Bz39w6QkGRtri3jfVQu5fkUZi0qy1WEXB6L6Z8PYEHPOdZnZAaASiMx+ED4X6dHTRHtCjQZNKEE1VSiNPv9kZhJOGj1JrPQNDrNrNJTqO+gbHKEgK5VbVpdzw4oyrl5aQp5WZog7MRvXmtlCAtu/vzDB3ZvNbDfQAHzaObd/gsffCdwJUFNTE71C49R04TOVmQQTKJz8Zux7pKKq2uNqoq9vcJgdp9p54fg5dtd30D80QlF2Gm++rIrXry7nykVFWqEhzsUkoMwsB7gX+IRzrnPc3TuABc65bjN7PXA/sHT8czjn7gbuBtiwYYMbf7/fRGtZo0jtrDtVKI1SOMWXse+RS9dd5vv3yEwMjzj2njnPM0db2XbyHH2DI5TmpPP2DdW8fk05G2uLSNZKDQkj6gFlZqkEwuknzrn7xt8/NrCcc78ys2+ZWYlzrjXatfnZVHtBzTSkQgml0dee8nl0zkliyDnHsdYenj7aynN1bZy/MEheRgpvWlfJ7esqFUoJLKoBZYGzkN8DDjjn/mGSY+YDTc45Z2YbCbSut0WzrmiLxaKwo2EzVVCFGkgQuQ0FNXqSSDnXM8BTR1p48kgLDR19pCYbN66Yx5vWV3L9ilJdmzQHRHsEtQV4L7DXzHYFb/troAbAOfdtAuv5fdjMhoALwDudcwk5PRGuUHbUDSeEJnuNUCmcJNqGhkfYfqqd3x9qYffpDkYcXLGwkI/fuJSbV5eTn6lGh7kk2l18TwNTjr2dc98AvhHNOuJZtLZ9DyeYQNN6El0n23p44nALzxxtpatviHl56Xz4usW89fJqakuyvS5PPKKr0zwU6gaFo2Ey26AKN5RGRWLxV5HxuvuHePZoK08cbuF4aw+pycZrV87nbRuquGZpqc4riQLKa+Hsojs+YKYLrJkG0lgKJ4kk5xxHmrv57YEmXjh2joHhEVaW5/GFN67k9nWVFGaneV2i+IgCygdmutV7JAJoKgoniZTegSGePtLK7w42c+pcL1lpybxtQxV/vLGG1ZX5XpcnPqWAioKZbO8+NgwivT7fTOick8yWc466lh5+d6CJ54610T80wuqKPL745jXctrZC69/JtPQT4kN+C6vJaPQkE7kwMMwzda387kATJ9p6yUxN5o/WV/KuTTVcWlXgdXkSRxRQUTKTUdREJhrJRDu0NHqSmTjR1sNvX27i2bo2LgwOs2J+Ln93+ypuX1+pdfBkRhRQUTQ6woj0hbvTBchsAizUcNLoSQCGRkbYdqKdR/ef5eDZLjJSkrh1bQXv2lTD+uoCrRgus6KAioFIjaZCNVnITBVc4YyaFE7SeWGQxw4289sDTbT1DFBVmMln33AJb7u8mvwsjZYkMhRQMRKt0VQ4NHUns3W8tYdH95/l2bpWBocdW5YUc8dVtdywokzXLUnEKaBibOzow8uwmimNnuYe5xw7TnXw0J4GDp7tIjM1mXdcUc37Ni9k6bxcr8uTBKaA8tBUv+z9GF4Kp7llZMTxwvE2HtjdwMm2XioLgtN4G6q1Jp7EhALKp8IJg1iEmcJp7hgaGeHpI638cncDDef7WFyazf/3trXctq6CVG0AKDGkgEoA48Mj0oGlcJobnHPsqu/gJy+c4kzHBVZV5PHZW1dy86r5JOn8knhAAZWAInWeS8E0d9Sf6+XHL5xkz+nzLCzO4u73Xs5rVs5Tm7h4KtobFlYDPwTmAyPA3c65r407xoCvAa8HeoE7nHM7olnXXBJuWCmU5pa+wWH+46V6fvPyWXLSU/ibW1fy3isXkJaiqTzxXrRHUEPAp5xzO8wsF9huZr9xzr085phbgKXBj03APwf/lQhT+MhYh5u6+NYTR2nu7Oe9mxfwyZuWaTVx8ZVob1jYCDQGP+8yswNAJTA2oG4HfhjcRfd5Mysws/LgY0Ukwpxz/GrvWf79xZNUFmTysw9uZmNtkddlibxKzM5BmdlCYD3wwri7KoH6MV+fDt6mgBKJsKGREb731HGeONzCzavm8eW3rdU6eeJbMQkoM8sB7gU+4ZzrHH/3BA9xEzzHncCdADU1NRGvUSTejX2PVFRVv+r+oeERvva7I2w72c7HblzKJ29aqiYI8bWonwk1s1QC4fQT59x9ExxyGhj7bqoCGsYf5Jy72zm3wTm3obS0NDrFisSxse+R4uKSV9w34hzfeqKObSfb+d+3reIvXrNM4SS+F9WACnbofQ844Jz7h0kOexD4Ewu4Ejiv808ikXXvjtM8d6yNv7plBe+7aqHX5YiEJNpTfFuA9wJ7zWxX8La/BmoAnHPfBn5FoMX8KIE28/dHuSaROWXfmfP8YscZ3np5FR/cusjrckRCFu0uvqeZ+BzT2GMc8JFo1iEyVw0Nj/C9p4+zsCSbv719lab1JK7oajyRBPbrl5s429nH5964kqw0LRwj8UUBJZKg+gaH+cXOM1yztITrlqmxSOKPAkokQb1wvI3u/iH+/Aa1k0t8UkCJJKjHD7awqCSbKxYWel2KyIwooEQS0NCI41BTF2++rFKjJ4lbCiiRBNQ7MATAliUl0xwp4l8KKJEEdGFwmMy0ZNZU5ntdisiMKaBEEtDA0AjLynJI0RbtEsf00yuSgAaGRlhcmuN1GSKzooASSUBDI47KwkyvyxCZFQWUSIIq0u64EucUUCIJqjBLASXxTQElkqAyUvX2lvimn2CRBJWWore3xDf9BIskqLTkZK9LEJmVaO+o+69m1mxm+ya5/zozO29mu4Ifn4tmPSJzRUqSkZWugJL4Fu0NYr4PfAP44RTHPOWcuzVSL1iSpT1vRC4pz+OyGi0SK/EtqiMo59yTwLlovoaIiCQmP5yD2mxmu83sYTNbNdlBZnanmW0zs20tLS2xrE8kLug9IonG64DaASxwzq0Fvg7cP9mBzrm7nXMbnHMbSku1O6jIeHqPSKLxNKCcc53Oue7g578CUs1M+wOIiIi3AWVm8y24m5qZbQzW0+ZlTSIi4g9RbXkzs58C1wElZnYa+DyQCuCc+zbwVuDDZjYEXADe6Zxz0axJRETig8VjHphZC3AyBi9VArTG4HW8oO8telqdczd7+PqY2SNe1yAyW3EZULFiZtuccxu8riMa9L2JiN953cUnIiIyIQWUiIj4kgJqand7XUAU6XsTEV/TOSgREfEljaBERMSXFFAiIuJLCqhJmFmyme00s4e8riXSzKzAzO4xs4NmdsDMNntdU6SY2SfNbL+Z7TOzn5pZhtc1icjMKKAm93HggNdFRMnXgEeccyuAtSTI92lmlcDHgA3OudVAMvBOb6sSkZlSQE3AzKqANwDf9bqWSDOzPGAr8D0A59yAc67D26oiKgXINLMUIAto8LgeEZkhBdTE7gL+EhjxupAoWAS0AP8WnML8rplle11UJDjnzgBfBU4BjcB559yvva1KRGZKATWOmd0KNDvntntdS5SkAJcB/+ycWw/0AH/lbUmRYWaFwO1ALVABZJvZe7ytSkRmSgH1aluA28zsBPAfwA1m9mNvS4qo08Bp59wLwa/vIRBYieAm4LhzrsU5NwjcB1zlcU0iMsX/vpEAAANYSURBVEMKqHGcc59xzlU55xYSOMH+mHMuYf4Kd86dBerNbHnwphuBlz0sKZJOAVeaWVZwn7EbSZAGEJG5KKr7QYlv/TnwEzNLA44B7/e4nohwzr1gZvcAO4AhYCda9kgkbmmpIxER8SVN8YmIiC8poERExJcUUCIi4ksKKBER8SUFlIiI+JICSkREfEkBNQeY2XVTbRtiZneY2Tei8Lp3mFnFmK9PmFlJpF9HRBKTAkqi6Q4Ca+KJiIRNK0n4RHBF8Z8DVQT2Mfo74CjwD0AO0Arc4ZxrNLMngF3ARiAP+IBz7kUz20hgJfZM4ALwfufcoTDrKAW+DdQEb/qEc+4ZM/tC8LZFwX/vcs79U/AxfwO8G6gP1rkdOAFsILBixQVgdFPEPzezNwKpwNuccwfDqU9E5g6NoPzjZqDBObc2uNneI8DXgbc65y4H/hX4v2OOz3bOXQX8WfA+gIPA1uAq5Z8D/n4GdXwN+Efn3BXAW3jlnlgrgNcRCMbPm1mqmW0IHrceeDOBUMI5dw+wDXi3c26dc+5C8DlanXOXAf8MfHoG9YnIHKERlH/sBb5qZl8CHgLagdXAbwLrnpJMYI+jUT8FcM49aWZ5ZlYA5AI/MLOlgCMwSgnXTcDK4GsC5JlZbvDz/3LO9QP9ZtYMzAOuBh4YDSAz++U0z39f8N/tBAJNRGRCCiifcM4dNrPLgdcDXwR+A+x3zm2e7CETfP13wOPOuT8ys4XAEzMoJQnYPGbEA0AwsPrH3DRM4OfHCM/oc4w+XkRkQpri84lgt1uvc+7HBHaF3QSUmtnm4P2pZrZqzEPeEbz9agI7x54H8oEzwfvvmGEpvwY+OqauddMc/zTwRjPLMLMc4A1j7usiMKoTEQmb/oL1jzXAV8xsBBgEPkxgy4h/MrN8Av+v7gL2B49vN7NnCTZJBG/7MoEpvr8AHpthHR8Dvmlme4Kv+STwockOds69ZGYPAruBkwTOO50P3v194NvjmiREREKi7TbiULCL79POuW1e1wJgZjnOuW4zyyIQaHc653Z4XZeIxDeNoCQS7jazlUAG8AOFk4hEgkZQc4iZvR/4+Libn3HOfcSLekREpqKAEhERX1IXn4iI+JICSkREfEkBJSIivqSAEhERX/r/ATaL7FCTRi1XAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make marginal bigger, ratio表示中央图像和边缘图的比例，ratio越大，比例越大\n",
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='kde',ratio=1);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='kde',ratio=10);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
